tnp38's Stars
samapriya/csdms2021
CSDMS 2021: Introduction to Google Earth Engine
bmcollings/ResBaz-Introduction-to-GEE
Introduction to Google Earth Engine workshop resources for ResBaz 2021
gicait/intro-to-gee-and-application
This tutorial includes introduction to fundamentals of Google Earth Engine (GEE) with Python and Applications (Case Studies) of GEE.
Asabeneh/python-autumn-2023
OHI-Science/global_food_pressures
Estimating global pressures from food production
HugoBlox/theme-academic-cv
🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.
maja601/EuroCrops
The official repository for the EuroCrops dataset.
PoisotLab/manuscript-template
google/earthengine-jupyter
Tools for working with the Earth Engine from a Jupyter development environment
nstrayer/datadrivencv
R package for building customizable CVs from spreadsheets
ornldaac/gedi_tutorials
GEDI L3 and L4 Tutorials
KonstantinosF/Classification-of-Hyperspectral-Image
Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
ArkaJU/U-Net-Satellite
Road Detection from satellite images using U-Net.
laurajanegraham/best_practice
Overview of best practice for coding in R for Forest Research 21 Sept 21
syamkakarla98/Hyperspectral_Image_Analysis_Simplified
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
syamkakarla98/Satellite_Imagery_Analysis
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
radiantearth/crop-type-detection-ICLR-2020
Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020